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The dynamic development of digital technologies and artificial intelligence (AI) in medicine presents healthcare institutions with new challenges in the integration of medical data. One of the key solutions aimed at streamlining diagnostic, therapeutic, and research processes is the concept of Regional Digital Medicine Centers (RCMC), which enable the efficient collection, processing, and sharing of information resources. The aim of this article is to define the problems and barriers that hinder the creation and operation of RCMCs. The article focuses on issues related to the integration of medical data within RCMCs, analyzing a case study of the Medical University of Wrocław (UMW). It presents the main challenges encountered during the digitization and harmonization of information resources used by healthcare entities, including hospitals and academic centers. Particular attention is paid to aspects such as system interoperability, data security, standardization of information formats, and the implementation of AI tools in the analysis of large clinical datasets. The article also discusses the process of creating Regional Digital Medicine Centers and the methodologies used in their implementation. The multifaceted nature of medical data, including electronic medical records (EDM), biobank repositories, and clinical trial datasets, is highlighted. Against this backdrop, the potential benefits of using AI in integration processes are presented, along with the identification of organizational, technical, and regulatory barriers that may hinder the implementation of effective solutions. The study utilizes a triangulation of research methods, including analysis of literature, reports, and design guidelines, as well as qualitative methods such as documentation analysis, IT system assessment, expert interviews, participatory observations, and a case study of the implementation of RCMC at the Medical University of Wrocław. The article provides valuable conclusions and recommendations for institutions planning to implement Regional Digital Medicine Centers. The importance of interdisciplinary collaboration, process standardization, and the development of advanced analytical technologies are emphasized as key factors enabling effective medical data integration.

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Analysis of Medical Data Integration Issues in the Concept of Regional Digital Medicine Centers. A Case Study from the Medical University of Wrocław

  • 会议论文

  • 发表日期：

    2026年

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  • Agnieszka Siennicka,
  • Agnieszka Matera-Witkiewicz,
  • Maciej Pondel,
  • Iwona Chomiak-Orsa

摘要

The dynamic development of digital technologies and artificial intelligence (AI) in medicine presents healthcare institutions with new challenges in the integration of medical data. One of the key solutions aimed at streamlining diagnostic, therapeutic, and research processes is the concept of Regional Digital Medicine Centers (RCMC), which enable the efficient collection, processing, and sharing of information resources. The aim of this article is to define the problems and barriers that hinder the creation and operation of RCMCs. The article focuses on issues related to the integration of medical data within RCMCs, analyzing a case study of the Medical University of Wrocław (UMW). It presents the main challenges encountered during the digitization and harmonization of information resources used by healthcare entities, including hospitals and academic centers. Particular attention is paid to aspects such as system interoperability, data security, standardization of information formats, and the implementation of AI tools in the analysis of large clinical datasets. The article also discusses the process of creating Regional Digital Medicine Centers and the methodologies used in their implementation. The multifaceted nature of medical data, including electronic medical records (EDM), biobank repositories, and clinical trial datasets, is highlighted. Against this backdrop, the potential benefits of using AI in integration processes are presented, along with the identification of organizational, technical, and regulatory barriers that may hinder the implementation of effective solutions. The study utilizes a triangulation of research methods, including analysis of literature, reports, and design guidelines, as well as qualitative methods such as documentation analysis, IT system assessment, expert interviews, participatory observations, and a case study of the implementation of RCMC at the Medical University of Wrocław. The article provides valuable conclusions and recommendations for institutions planning to implement Regional Digital Medicine Centers. The importance of interdisciplinary collaboration, process standardization, and the development of advanced analytical technologies are emphasized as key factors enabling effective medical data integration.